Consilient, UCSF Health, Intel deploy confidential computing to safeguard data in use

Confidential computing and privacy-preserving analytics are relatively new terms in the tech world. Yet they’ve continued to gain wider interest as a way to solve the complex challenges of protecting and securing data in use and algorithm code bases on secure public clouds, at the edge, and in data centers — especially for large compute requirements around artificial intelligence.